683 search results - page 36 / 137 » Generalization Bounds for Learning Kernels |
JMLR
2002
13 years 8 months ago
2002
We define notions of stability for learning algorithms and show how to use these notions to derive generalization error bounds based on the empirical error and the leave-one-out e...
AAAI
2006
13 years 10 months ago
2006
In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
NIPS
2004
13 years 9 months ago
2004
We claim and present arguments to the effect that a large class of manifold learning algorithms that are essentially local and can be framed as kernel learning algorithms will suf...
ICIP
2007
IEEE
14 years 10 months ago
2007
IEEE
We propose in this paper a general kernel framework to deal with database object retrieval embedded in images with heterogeneous background. We use local features computed on fuzz...